Ribosome profiling is a method based on deep sequencing of ribosome-protected mRNA fragments. Purification and sequencing of these fragments provides a “snapshot” of all the ribosomes active in a cell at a specific time point. This information can determine which proteins are being actively translated in a cell.
Ribosome profiling analysis enables systematic monitoring of cellular translation processes and prediction of protein abundance. Determining what regions of a message are being translated can help define the proteome of complex organisms. In combination with massively parallel Illumina high-throughput sequencing, ribosome profiling allows detailed and accurate in vivo analysis of protein production.
Identify transcripts undergoing translation for visibility to an important aspect of gene regulation.
Ribosome profiling uses size-exclusion chromatography. This method streamlines the steps to convert ribosome-protected RNA fragments into libraries compatible with sequencing on Illumina instruments. It is a simple, rapid, and scalable method that does not require special equipment. In contrast, other methods to isolate polysomes and monosomes rely on several hours of ultracentrifugation using either a sucrose gradient or a cushion.
The TruSeq Ribo Profile kits, which have been discontinued, are based on the following published protocol for ribosome profiling: Ingolia NT, Brar GA, Rouskin S, McGeachy AM, Weissman JS. The ribosome profiling strategy for monitoring translation in vivo by deep sequencing of ribosome-protected mRNA fragments. Nat Protoc. 2012;7(8);1534-1550. This publication provides detailed information about the reagents required for the assay and where they can be purchased.View Publication
Ribosome profiling can provide critical insight into gene deregulation in cancer. This method, as well as gene expression analysis, can help researchers gain insight into functional changes occurring during cancer development. Learn more about cancer gene expression studies.
Ribosome profiling further bridges the gap between genomics/transcriptomics and proteomics, providing visibility to an important layer of post-transcriptional regulation and potential new insights into the mechanisms driving complex diseases. Learn more about complex disease genomics.
Enter your email address.
*Data calculations on file. Illumina, Inc., 2015